The Applications of Radiomics in Precision Diagnosis
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (31 March 2025) | Viewed by 307
Special Issue Editor
Interests: Artificial intelligence; cancer; deep learning; image segmentation and classification; machine learning; medical image analysis; personalized medicine; prognostication; radiomics; risk stratification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Radiomics has emerged as a computational method for the high-dimensional high-throughput extraction and analysis of quantitative imaging biomarkers from medical images. Since its introduction in 2012, computer scientists, researchers, radiologists, and physicians have gravitated towards this new tool and exploited advanced methodologies to discover hidden features behind medical images. Radiomic features have been extensively investigated in a variety of diseases, including but also going beyond the field of oncology; its capabilities in divulging tissue heterogeneity on the basis of the distribution of imaging pixel/voxel intensity have been demonstrated to facilitate the clinical decision-making process and inform precision medical decisions. In particular, radiomics has great potential toward precision diagnosis, such as risk prediction for a particular disease, the classification of lesions, and the severity grading of a disease/symptom. This Special Issue aims to collect systematic reviews, basic research articles, and clinical/technical studies that employ radiomics for applications in the precision diagnosis of human diseases of all kinds.
Dr. Sai Kit Lam
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- artificial intelligence in precision diagnosis
- disease classification
- early diagnosis
- imaging biomarkers
- radiomics
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